Arothron (version 2.0.5)

permutangle: permutangle

Description

Create palettes from an image

Usage

permutangle(
  mat,
  var,
  group1,
  group2,
  scale = FALSE,
  iter = 100,
  cex1 = range01(var[group1] + 1),
  cex2 = range01(var[group2] + 1),
  cex3 = 0.7,
  cex4 = 1.2,
  labels = c("stgr1", "stgr2", "endgr1", "endgr2"),
  pch1 = 19,
  pch2 = 19,
  pch3 = 19,
  col1 = "red",
  col2 = "blue"
)

Value

angle list: color palettes arranged in a list

permangles list: color palettes arranged in a list

angle list: color palettes arranged in a list

iterangles list: color palettes arranged in a list

p-value list: color palettes arranged in a list

PCA_angle list: color palettes arranged in a list

PCA_interangles list: color palettes arranged in a list

PCA_p-value list: color palettes arranged in a list

Arguments

mat

array: rgb array

var

numeric: desidered resize factor

group1

logical: if TRUE each color is counted once

group2

logical: if TRUE (color) variables are scaled

scale

numeric: desidered number of clusters (i.e., number of palettes)

iter

numeric: length of the color vector of each palette

cex1

numeric: desidered PLS axis

cex2

numeric: size of colored squares

cex3

numeric: size of color names

cex4

numeric: size of color names

labels

numeric: size of color names

pch1

numeric: size of color names

pch2

numeric: size of color names

pch3

numeric: size of color names

col1

numeric: size of color names

col2

numeric: size of color names

Author

Antonio Profico

Examples

if (FALSE) {
require(shapes)
require(Morpho)
data("gorf.dat")
data("gorm.dat")
Array<-bindArr(gorf.dat,gorm.dat,along=3)
CS<-apply(Array,3,cSize)
Sex<-c(rep("F",dim(gorf.dat)[3]),rep("M",dim(gorm.dat)[3]))

#Shape and size space
AllTrajFB<-permutangle(procSym(Array,scale=FALSE,CSinit = FALSE)$PCscores,
var=CS,group1=which(Sex=="F"),group2=which(Sex=="M"),scale=FALSE,iter=50)
hist(AllTrajFB$iterangles,breaks = 100,xlim=c(0,90))
abline(v=AllTrajFB$angle,lwd=2,col="red")
hist(AllTrajFB$PCA_iterangles,breaks = 100,xlim=c(0,90))
abline(v=AllTrajFB$PCA_angle,lwd=2,col="red")

#Shape space
AllTrajFB<-permutangle(procSym(Array)$PCscores,
var=CS,group1=which(Sex=="F"),group2=which(Sex=="M"),scale=FALSE,iter=50)
hist(AllTrajFB$iterangles,breaks = 100,xlim=c(0,90))
abline(v=AllTrajFB$angle,lwd=2,col="red")
hist(AllTrajFB$PCA_iterangles,breaks = 100,xlim=c(0,90))
abline(v=AllTrajFB$PCA_angle,lwd=2,col="red")
}